The avatar for @justingosses
Justin Gosses
JavaScript | Python | Data Visualization | Web Development | Geology | Space | Analytics | IoT | Learn, Build Stuff, and Figure Things Out
Published
Edited
Jun 10, 2021
5 forks
1 star
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codejson = d3.json('https://raw.githubusercontent.com/nasa/Open-Source-Catalog/master/code.json')
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header_table_code_dot_json = html `<h2>Table of Code.json</h2>`
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table_code_dot_json = Inputs.Table(codejson.releases)
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catalogjson0 = d3.json('https://raw.githubusercontent.com/nasa/code-nasa-gov/master/data/catalog.json')
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header_table_catalog_dot_json = html `<h2>Table of Catalog.json</h2>`
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table_catalog_dot_json = Inputs.Table(catalogjson0)
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// Plot.dot(catalogjson0, {x: "Update_Date", y: "Labor_Hours", title: "species"}).plot()
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import {radio} from "@jashkenas/inputs"
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import {date} from "@jashkenas/inputs"
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Plot = require("@observablehq/plot@0.1")
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One platform to build and deploy the best data apps

Experiment and prototype by building visualizations in live JavaScript notebooks. Collaborate with your team and decide which concepts to build out.
Use Observable Framework to build data apps locally. Use data loaders to build in any language or library, including Python, SQL, and R.
Seamlessly deploy to Observable. Test before you ship, use automatic deploy-on-commit, and ensure your projects are always up-to-date.
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